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A Survey on Remote Assistance and Training in Mixed Reality Environments.

Catarina G Fidalgo, Yukang Yan, Hyunsung Cho

    IEEE Transactions on Visualization and Computer Graphics
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    Mixed Reality (MR) enhances remote assistance and training by improving spatial referencing over video conferencing. This survey analyzes 62 articles to identify gaps and opportunities for novel MR applications in education and industry.

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    Area of Science:

    • Human-Computer Interaction
    • Virtual Reality
    • Augmented Reality

    Background:

    • Global events highlight the need for effective remote education, training, and assistance.
    • Current remote solutions like video conferencing lack crucial spatial cues, hindering performance.
    • Mixed Reality (MR) presents a promising avenue for enhanced remote collaboration with improved spatial clarity.

    Purpose of the Study:

    • To systematically review and synthesize existing research on remote assistance and training in Mixed Reality (MR) environments.
    • To provide a comprehensive understanding of current MR approaches, their benefits, and limitations.
    • To identify key research gaps and future opportunities in the field of MR-based remote support.

    Main Methods:

    • Conducted a systematic literature review, analyzing 62 relevant articles.
    • Developed and applied a taxonomy to contextualize findings based on collaboration, perspective sharing, MR space symmetry, time, modalities, display, and application domain.
    • Synthesized findings to identify trends, challenges, and areas for future research.

    Main Results:

    • Identified key characteristics and taxonomies of current MR remote assistance and training systems.
    • Highlighted limitations in existing research, particularly concerning complex collaboration scenarios and user interaction.
    • Pinpointed opportunities for advancements in areas such as multi-user collaboration, dynamic reality-virtuality spectrum navigation, and advanced tracking techniques.

    Conclusions:

    • Mixed Reality (MR) holds significant potential to revolutionize remote assistance and training across various domains.
    • Further research is needed to explore advanced collaboration models and interaction techniques within MR.
    • This survey provides a valuable resource for researchers and developers aiming to create next-generation MR remote support solutions.